While traditional phonetic-based approaches (Hidden Markov Models) have produced considerable results in the past, we focus on end-to-end speech recognition with deep learning [1]}, [2]}, [3]}, [4]}, [5]}, [6]} because they have been shown to produce better results, with little dependence on hand-crafted features and phoneme dictionaries.
